معرفی
Dr. Daniel Thiele is a Research Associate at the Weizenbaum Institute for the Networked Society and affiliated with the Free University of Berlin's Institute of Journalism and Communication Studies. He specializes in computational analysis of political communication on social media platforms, with particular focus on disinformation campaigns and populist discourse.
His research employs advanced computational methods including custom-trained word embeddings, distributed dictionary representation, and machine translation to analyze large-scale digital trace data. Thiele has developed several R packages for computational social science research, including dictvectoR, coorsim, and easieRnmt.
Thiele completed his PhD in Political Science at the University of Vienna with a dissertation on populism in user comments. His methodological expertise spans computational text analysis, digital trace data methods, and multilingual analysis of social media content across seven European countries.
He has received multiple research awards including Best Paper at the ICA Regional Conference on Computational Communication Research (2022) and Best PolCom Paper at the ECPR Conference (2019). Thiele serves as Chair of the Political Communication Section at the ECPR General Conference.
- Master's in Political Science, University of Vienna
- Bachelor's in Political Science, University of Mannheim
- Recipient of OeAD Marietta Blau fellowship
- FWF-funded doctoral researcher in 'Political and Media Populism' project
Thiele is an active contributor to open science initiatives and has developed multiple computational tools for the research community. His work bridges political communication theory with innovative computational methodologies for analyzing digital political discourse.
